Explainable machine learning model incorporating social determinants of health to predict chronic kidney disease in type 2 diabetes patients.

Journal: Journal of diabetes and metabolic disorders
Published Date: Jun 1, 2025

Abstract

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) play a critical role in the onset and progression of chronic kidney disease (CKD). Despite the well-established role of SDOH, previous studies have not fully incorporated these factors in predicting CKD in Type 2 diabetes patients. To bridge this gap, this study aimed to develop and evaluate the machine learning (ML) models that incorporate SDOH to enhance CKD risk prediction in Type 2 diabetes patients.

Authors

  • Md Mohaimenul Islam
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Tahmina Nasrin Poly
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Arinzechukwu Nkemdirim Okere
    College of Pharmacy, The University of Iowa, Iowa, IA USA.
  • Yao-Chin Wang
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan; Department of Emergency, Min-Sheng General Hospital, Taoyuan, Taiwan.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals